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dc.contributor.authorLiu, Shi
dc.contributor.authorToreini, Peyman
dc.contributor.authorMaedche, Alexander
dc.contributor.editorMühlhäuser, Max
dc.contributor.editorReuter, Christian
dc.contributor.editorPfleging, Bastian
dc.contributor.editorKosch, Thomas
dc.contributor.editorMatviienko, Andrii
dc.contributor.editorGerling, Kathrin|Mayer, Sven
dc.contributor.editorHeuten, Wilko
dc.contributor.editorDöring, Tanja
dc.contributor.editorMüller, Florian
dc.contributor.editorSchmitz, Martin
dc.date.accessioned2022-08-31T09:43:05Z
dc.date.available2022-08-31T09:43:05Z
dc.date.issued2022
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/39263
dc.description.abstractMixed Reality (MR) has demonstrated its potential in the application field of education. In particular, in contrast to traditional learning, students using MR get the possibility of learning and exploring the content in a self-directed way. Meanwhile, research in learning technology has revealed the significance of supporting learning activities with feedback. Since such feedback is often missing in MR-based learning environments, we propose a solution of using eye-tracking in MR to provide gaze-aware attention feedback to students and evaluate it with potential users in a preliminary user study.en
dc.description.urihttps://dl.acm.org/doi/10.1145/3543758.3547565en
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2022 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectMixed Reality
dc.subjectEye-Tracking
dc.subjectFeedback for Learning
dc.titleDesigning Gaze-Aware Attention Feedback for Learning in Mixed Realityen
dc.typeText/Conference Paper
dc.pubPlaceNew York
mci.document.qualitydigidoc
mci.reference.pages495-500
mci.conference.sessiontitleMCI-POSTER
mci.conference.locationDarmstadt
mci.conference.date4.-7. September 2022
dc.identifier.doi10.1145/3543758.3547565


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